Intrinsic time gravity, heat kernel regularization, and emergence of Einstein’s theory
Sign Up to like & getrecommendations! Published in 2020 at "Classical and Quantum Gravity"
DOI: 10.1088/1361-6382/abcb0e
Abstract: The Hamiltonian of Intrinsic Time Gravity is elucidated. The theory describes Schrodinger evolution of our universe with respect to the fractional change of the total spatial volume. Gravitational interactions are introduced by extending Klauder's momentric… read more here.
Keywords: kernel regularization; time gravity; heat kernel; intrinsic time ... See more keywords
Hyperspectral Band Selection Using Weighted Kernel Regularization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2922201
Abstract: A band selection method named weighted kernel regularization (WKR) is proposed for hyperspectral imagery (HSI) classification. The WKR aims to select dissimilar and class-separable bands to better model the relationship between labeled samples. First, the… read more here.
Keywords: using weighted; band; kernel regularization; band selection ... See more keywords
A Multiscale Wavelet Kernel Regularization-Based Feature Extraction Method for Electronic Nose
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3151761
Abstract: In the electronic nose (e-nose), a stable feature representation of the gas sensor’s response is a key step to realize subsequent odor identification algorithms. However, the noises in gas sensors hinder the acquisition of such… read more here.
Keywords: wavelet kernel; feature; feature extraction; multiscale wavelet ... See more keywords